{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <center>数据处理</center>\n",
    "<center>作者：沈吉梅</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 题目一"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 下载并用pandas导入sz50.xlsx的所有股票，索引设置为datetime，将所有股票的keys打印出来。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jimei\\Anaconda3\\lib\\site-packages\\pandas\\util\\_decorators.py:118: FutureWarning: The `sheetname` keyword is deprecated, use `sheet_name` instead\n",
      "  return func(*args, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "data = pd.read_excel('sz50.xlsx', sheetname=None, index_col='datetime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "odict_keys(['600000.XSHG', '600016.XSHG', '600028.XSHG', '600029.XSHG', '600030.XSHG', '600036.XSHG', '600048.XSHG', '600050.XSHG', '600100.XSHG', '600104.XSHG', '600111.XSHG', '600340.XSHG', '600485.XSHG', '600518.XSHG', '600519.XSHG', '600547.XSHG', '600606.XSHG', '600837.XSHG', '600887.XSHG', '600919.XSHG', '600958.XSHG', '600999.XSHG', '601006.XSHG', '601088.XSHG', '601166.XSHG', '601169.XSHG', '601186.XSHG', '601198.XSHG', '601211.XSHG', '601229.XSHG', '601288.XSHG', '601318.XSHG', '601328.XSHG', '601336.XSHG', '601390.XSHG', '601398.XSHG', '601601.XSHG', '601628.XSHG', '601668.XSHG', '601688.XSHG', '601766.XSHG', '601788.XSHG', '601800.XSHG', '601818.XSHG', '601857.XSHG', '601881.XSHG', '601901.XSHG', '601985.XSHG', '601988.XSHG', '601989.XSHG'])\n"
     ]
    }
   ],
   "source": [
    "print(data.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 题目二"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 读取data里的600036这只股票的DataFrame,将其收盘价转换成用Numpy的Array格式，并用talib计算10日均线值，返回ndarray的最后五个值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.ndarray'>\n",
      "[108.35  108.741 109.176 110.102 111.666]\n"
     ]
    }
   ],
   "source": [
    "import talib as ta\n",
    "\n",
    "MA = ta.MA(data['600036.XSHG'].close.values,10)\n",
    "print(type(MA))\n",
    "print(MA[-5:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 题目三"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 将MA的ndarray数据转换成Series格式，并将价格和MA值用Matplotlib展示出来"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "MA_Series = pd.Series(MA,index=data['600036.XSHG'].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(15,7))\n",
    "plt.plot(data['600036.XSHG'].close)\n",
    "plt.plot(MA_Series)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 题目四"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 用talib计算50只股票的周期为5的ROCR100，生成Dataframe，并将前5只股票的 ROCR100（参数timeperiod=20）用一张图显示出来。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jimei\\Anaconda3\\lib\\site-packages\\pandas\\util\\_decorators.py:118: FutureWarning: The `sheetname` keyword is deprecated, use `sheet_name` instead\n",
      "  return func(*args, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "stocks = pd.Panel({s: pd.read_excel('sz50.xlsx', sheetname=s, index_col='datetime') \n",
    "                   for s in range(5)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "ROCR100 = pd.DataFrame({item: ta.ROCR100(value.values) for item, value in stocks.minor_xs('close').iteritems()}, index = stocks.minor_xs('close').index)\n",
    "ROCR100.columns=['600000.XSHG', '600016.XSHG', '600028.XSHG', '600029.XSHG', '600030.XSHG']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jimei\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,7))\n",
    "plt.plot(ROCR100.ix[:,0:5])\n",
    "plt.legend(ROCR100.ix[:,0:5].columns)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# ROCR100=pd.DataFrame.reset_index(ROCR100)\n",
    "# ROCR100.columns=['datetime','600000.XSHG', '600016.XSHG', '600028.XSHG', '600029.XSHG', '600030.XSHG']\n",
    "# ROCR100.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# fig = plt.figure(figsize=(15, 7))\n",
    "# plt.plot(ROCR100['datetime'],ROCR100['600000.XSHG'])\n",
    "# plt.plot(ROCR100['datetime'],ROCR100['600016.XSHG'])\n",
    "# plt.plot(ROCR100['datetime'],ROCR100['600028.XSHG'])\n",
    "# plt.plot(ROCR100['datetime'],ROCR100['600029.XSHG'])\n",
    "# plt.plot(ROCR100['datetime'],ROCR100['600030.XSHG'])\n",
    "# plt.legend()\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 题目五"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 用Panel来计算50只股票的MACD并且输出MACD的Panel的MultiIndex格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jimei\\Anaconda3\\lib\\site-packages\\pandas\\util\\_decorators.py:118: FutureWarning: The `sheetname` keyword is deprecated, use `sheet_name` instead\n",
      "  return func(*args, **kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.panel.Panel'>\n",
      "Dimensions: 50 (items) x 215 (major_axis) x 5 (minor_axis)\n",
      "Items axis: 600000.XSHG to 601989.XSHG\n",
      "Major_axis axis: 2017-01-03 15:00:00 to 2017-11-20 15:00:00\n",
      "Minor_axis axis: close to volume\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "import pandas as pd\n",
    "symbol=['600000.XSHG', '600016.XSHG', '600028.XSHG', '600029.XSHG', '600030.XSHG', '600036.XSHG', '600048.XSHG', '600050.XSHG', '600100.XSHG', '600104.XSHG', '600111.XSHG', '600340.XSHG', '600485.XSHG', '600518.XSHG', '600519.XSHG', '600547.XSHG', '600606.XSHG', '600837.XSHG', '600887.XSHG', '600919.XSHG', '600958.XSHG', '600999.XSHG', '601006.XSHG', '601088.XSHG', '601166.XSHG', '601169.XSHG', '601186.XSHG', '601198.XSHG', '601211.XSHG', '601229.XSHG', '601288.XSHG', '601318.XSHG', '601328.XSHG', '601336.XSHG', '601390.XSHG', '601398.XSHG', '601601.XSHG', '601628.XSHG', '601668.XSHG', '601688.XSHG', '601766.XSHG', '601788.XSHG', '601800.XSHG', '601818.XSHG', '601857.XSHG', '601881.XSHG', '601901.XSHG', '601985.XSHG', '601988.XSHG', '601989.XSHG']\n",
    "data_dict = {}\n",
    "for s in symbol:\n",
    "    data =  pd.read_excel('sz50.xlsx',sheetname=s, index_col='datetime')\n",
    "    data_dict[s] = data.loc['2017-01-03':'2017-11-20']\n",
    "PN = pd.Panel(data_dict)\n",
    "print(PN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "MI=PN.to_frame(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "PN=PN.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.panel.Panel"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(PN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import talib.abstract as ta\n",
    "pn_macd = pd.Panel({name: ta.MACD(value) for name, value in PN.iteritems()})\n",
    "df_macd = pn_macd.transpose(2,1,0).to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>macd</th>\n",
       "      <th>macdsignal</th>\n",
       "      <th>macdhist</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th>minor</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">2017-02-24 15:00:00</th>\n",
       "      <th>600000.XSHG</th>\n",
       "      <td>0.871114</td>\n",
       "      <td>1.197907</td>\n",
       "      <td>-0.326792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600016.XSHG</th>\n",
       "      <td>-0.007077</td>\n",
       "      <td>0.265328</td>\n",
       "      <td>-0.272405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600028.XSHG</th>\n",
       "      <td>0.028081</td>\n",
       "      <td>0.052015</td>\n",
       "      <td>-0.023934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600029.XSHG</th>\n",
       "      <td>0.221787</td>\n",
       "      <td>0.132200</td>\n",
       "      <td>0.089587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600030.XSHG</th>\n",
       "      <td>0.602873</td>\n",
       "      <td>0.620235</td>\n",
       "      <td>-0.017362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600036.XSHG</th>\n",
       "      <td>1.291055</td>\n",
       "      <td>1.245643</td>\n",
       "      <td>0.045412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600048.XSHG</th>\n",
       "      <td>2.316978</td>\n",
       "      <td>1.771997</td>\n",
       "      <td>0.544982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600050.XSHG</th>\n",
       "      <td>-0.105248</td>\n",
       "      <td>-0.189278</td>\n",
       "      <td>0.084029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600100.XSHG</th>\n",
       "      <td>0.453028</td>\n",
       "      <td>0.079491</td>\n",
       "      <td>0.373537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600104.XSHG</th>\n",
       "      <td>2.271146</td>\n",
       "      <td>2.012658</td>\n",
       "      <td>0.258488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600111.XSHG</th>\n",
       "      <td>2.429090</td>\n",
       "      <td>1.926561</td>\n",
       "      <td>0.502529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600340.XSHG</th>\n",
       "      <td>8.025312</td>\n",
       "      <td>5.194384</td>\n",
       "      <td>2.830927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600485.XSHG</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600518.XSHG</th>\n",
       "      <td>1.014290</td>\n",
       "      <td>2.387216</td>\n",
       "      <td>-1.372926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600519.XSHG</th>\n",
       "      <td>20.810882</td>\n",
       "      <td>7.146779</td>\n",
       "      <td>13.664103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600547.XSHG</th>\n",
       "      <td>-0.041687</td>\n",
       "      <td>0.918715</td>\n",
       "      <td>-0.960402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600606.XSHG</th>\n",
       "      <td>0.298737</td>\n",
       "      <td>0.267833</td>\n",
       "      <td>0.030904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600837.XSHG</th>\n",
       "      <td>-1.406916</td>\n",
       "      <td>-0.673088</td>\n",
       "      <td>-0.733828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600887.XSHG</th>\n",
       "      <td>7.150619</td>\n",
       "      <td>7.826700</td>\n",
       "      <td>-0.676082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600919.XSHG</th>\n",
       "      <td>0.203864</td>\n",
       "      <td>0.155884</td>\n",
       "      <td>0.047980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600958.XSHG</th>\n",
       "      <td>-0.069896</td>\n",
       "      <td>-1.678327</td>\n",
       "      <td>1.608431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600999.XSHG</th>\n",
       "      <td>0.206569</td>\n",
       "      <td>0.203989</td>\n",
       "      <td>0.002579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601006.XSHG</th>\n",
       "      <td>-0.135435</td>\n",
       "      <td>-0.173164</td>\n",
       "      <td>0.037729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601088.XSHG</th>\n",
       "      <td>0.183388</td>\n",
       "      <td>0.266840</td>\n",
       "      <td>-0.083452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601166.XSHG</th>\n",
       "      <td>0.539498</td>\n",
       "      <td>0.661410</td>\n",
       "      <td>-0.121912</td>\n",
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       "    <tr>\n",
       "      <th>601169.XSHG</th>\n",
       "      <td>0.164487</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>601186.XSHG</th>\n",
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       "      <td>0.373367</td>\n",
       "      <td>-0.017165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601198.XSHG</th>\n",
       "      <td>0.035657</td>\n",
       "      <td>-0.035817</td>\n",
       "      <td>0.071473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601211.XSHG</th>\n",
       "      <td>0.170293</td>\n",
       "      <td>0.168216</td>\n",
       "      <td>0.002077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601229.XSHG</th>\n",
       "      <td>0.420298</td>\n",
       "      <td>0.354342</td>\n",
       "      <td>0.065955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">2017-11-20 15:00:00</th>\n",
       "      <th>600958.XSHG</th>\n",
       "      <td>-0.017207</td>\n",
       "      <td>-0.030366</td>\n",
       "      <td>0.013158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600999.XSHG</th>\n",
       "      <td>-0.316469</td>\n",
       "      <td>-0.361278</td>\n",
       "      <td>0.044810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601006.XSHG</th>\n",
       "      <td>-0.031503</td>\n",
       "      <td>-0.035473</td>\n",
       "      <td>0.003970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601088.XSHG</th>\n",
       "      <td>1.515106</td>\n",
       "      <td>1.323196</td>\n",
       "      <td>0.191910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601166.XSHG</th>\n",
       "      <td>-0.397310</td>\n",
       "      <td>-0.514731</td>\n",
       "      <td>0.117421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601169.XSHG</th>\n",
       "      <td>-0.060873</td>\n",
       "      <td>-0.101304</td>\n",
       "      <td>0.040431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601186.XSHG</th>\n",
       "      <td>-0.102098</td>\n",
       "      <td>-0.051427</td>\n",
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       "    <tr>\n",
       "      <th>601198.XSHG</th>\n",
       "      <td>-0.240666</td>\n",
       "      <td>-0.276337</td>\n",
       "      <td>0.035671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601211.XSHG</th>\n",
       "      <td>-0.228540</td>\n",
       "      <td>-0.260129</td>\n",
       "      <td>0.031589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601229.XSHG</th>\n",
       "      <td>-0.569227</td>\n",
       "      <td>-0.348796</td>\n",
       "      <td>-0.220430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601288.XSHG</th>\n",
       "      <td>-0.050925</td>\n",
       "      <td>-0.046703</td>\n",
       "      <td>-0.004222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601318.XSHG</th>\n",
       "      <td>9.177855</td>\n",
       "      <td>7.405553</td>\n",
       "      <td>1.772302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601328.XSHG</th>\n",
       "      <td>-0.078237</td>\n",
       "      <td>-0.087515</td>\n",
       "      <td>0.009278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601336.XSHG</th>\n",
       "      <td>3.017400</td>\n",
       "      <td>2.223956</td>\n",
       "      <td>0.793444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601390.XSHG</th>\n",
       "      <td>-0.051329</td>\n",
       "      <td>0.003959</td>\n",
       "      <td>-0.055288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601398.XSHG</th>\n",
       "      <td>-0.042961</td>\n",
       "      <td>-0.034460</td>\n",
       "      <td>-0.008502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601601.XSHG</th>\n",
       "      <td>2.358322</td>\n",
       "      <td>1.947435</td>\n",
       "      <td>0.410887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601628.XSHG</th>\n",
       "      <td>1.516911</td>\n",
       "      <td>1.445633</td>\n",
       "      <td>0.071278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601668.XSHG</th>\n",
       "      <td>-0.064400</td>\n",
       "      <td>-0.036614</td>\n",
       "      <td>-0.027786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601688.XSHG</th>\n",
       "      <td>-0.487274</td>\n",
       "      <td>-0.473025</td>\n",
       "      <td>-0.014250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601766.XSHG</th>\n",
       "      <td>0.110179</td>\n",
       "      <td>0.231906</td>\n",
       "      <td>-0.121726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601788.XSHG</th>\n",
       "      <td>-0.133310</td>\n",
       "      <td>-0.125970</td>\n",
       "      <td>-0.007340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601800.XSHG</th>\n",
       "      <td>-0.328193</td>\n",
       "      <td>-0.232894</td>\n",
       "      <td>-0.095299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601818.XSHG</th>\n",
       "      <td>-0.010007</td>\n",
       "      <td>-0.022297</td>\n",
       "      <td>0.012290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601857.XSHG</th>\n",
       "      <td>0.020054</td>\n",
       "      <td>0.073234</td>\n",
       "      <td>-0.053180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601881.XSHG</th>\n",
       "      <td>-0.471916</td>\n",
       "      <td>-0.403341</td>\n",
       "      <td>-0.068576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601901.XSHG</th>\n",
       "      <td>-0.106855</td>\n",
       "      <td>-0.094523</td>\n",
       "      <td>-0.012332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601985.XSHG</th>\n",
       "      <td>-0.017573</td>\n",
       "      <td>0.024240</td>\n",
       "      <td>-0.041813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601988.XSHG</th>\n",
       "      <td>-0.082474</td>\n",
       "      <td>-0.091479</td>\n",
       "      <td>0.009005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601989.XSHG</th>\n",
       "      <td>2.797383</td>\n",
       "      <td>2.515088</td>\n",
       "      <td>0.282295</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9100 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      macd  macdsignal   macdhist\n",
       "datetime            minor                                        \n",
       "2017-02-24 15:00:00 600000.XSHG   0.871114    1.197907  -0.326792\n",
       "                    600016.XSHG  -0.007077    0.265328  -0.272405\n",
       "                    600028.XSHG   0.028081    0.052015  -0.023934\n",
       "                    600029.XSHG   0.221787    0.132200   0.089587\n",
       "                    600030.XSHG   0.602873    0.620235  -0.017362\n",
       "                    600036.XSHG   1.291055    1.245643   0.045412\n",
       "                    600048.XSHG   2.316978    1.771997   0.544982\n",
       "                    600050.XSHG  -0.105248   -0.189278   0.084029\n",
       "                    600100.XSHG   0.453028    0.079491   0.373537\n",
       "                    600104.XSHG   2.271146    2.012658   0.258488\n",
       "                    600111.XSHG   2.429090    1.926561   0.502529\n",
       "                    600340.XSHG   8.025312    5.194384   2.830927\n",
       "                    600485.XSHG   0.000000    0.000000   0.000000\n",
       "                    600518.XSHG   1.014290    2.387216  -1.372926\n",
       "                    600519.XSHG  20.810882    7.146779  13.664103\n",
       "                    600547.XSHG  -0.041687    0.918715  -0.960402\n",
       "                    600606.XSHG   0.298737    0.267833   0.030904\n",
       "                    600837.XSHG  -1.406916   -0.673088  -0.733828\n",
       "                    600887.XSHG   7.150619    7.826700  -0.676082\n",
       "                    600919.XSHG   0.203864    0.155884   0.047980\n",
       "                    600958.XSHG  -0.069896   -1.678327   1.608431\n",
       "                    600999.XSHG   0.206569    0.203989   0.002579\n",
       "                    601006.XSHG  -0.135435   -0.173164   0.037729\n",
       "                    601088.XSHG   0.183388    0.266840  -0.083452\n",
       "                    601166.XSHG   0.539498    0.661410  -0.121912\n",
       "                    601169.XSHG   0.164487    0.169715  -0.005229\n",
       "                    601186.XSHG   0.356202    0.373367  -0.017165\n",
       "                    601198.XSHG   0.035657   -0.035817   0.071473\n",
       "                    601211.XSHG   0.170293    0.168216   0.002077\n",
       "                    601229.XSHG   0.420298    0.354342   0.065955\n",
       "...                                    ...         ...        ...\n",
       "2017-11-20 15:00:00 600958.XSHG  -0.017207   -0.030366   0.013158\n",
       "                    600999.XSHG  -0.316469   -0.361278   0.044810\n",
       "                    601006.XSHG  -0.031503   -0.035473   0.003970\n",
       "                    601088.XSHG   1.515106    1.323196   0.191910\n",
       "                    601166.XSHG  -0.397310   -0.514731   0.117421\n",
       "                    601169.XSHG  -0.060873   -0.101304   0.040431\n",
       "                    601186.XSHG  -0.102098   -0.051427  -0.050671\n",
       "                    601198.XSHG  -0.240666   -0.276337   0.035671\n",
       "                    601211.XSHG  -0.228540   -0.260129   0.031589\n",
       "                    601229.XSHG  -0.569227   -0.348796  -0.220430\n",
       "                    601288.XSHG  -0.050925   -0.046703  -0.004222\n",
       "                    601318.XSHG   9.177855    7.405553   1.772302\n",
       "                    601328.XSHG  -0.078237   -0.087515   0.009278\n",
       "                    601336.XSHG   3.017400    2.223956   0.793444\n",
       "                    601390.XSHG  -0.051329    0.003959  -0.055288\n",
       "                    601398.XSHG  -0.042961   -0.034460  -0.008502\n",
       "                    601601.XSHG   2.358322    1.947435   0.410887\n",
       "                    601628.XSHG   1.516911    1.445633   0.071278\n",
       "                    601668.XSHG  -0.064400   -0.036614  -0.027786\n",
       "                    601688.XSHG  -0.487274   -0.473025  -0.014250\n",
       "                    601766.XSHG   0.110179    0.231906  -0.121726\n",
       "                    601788.XSHG  -0.133310   -0.125970  -0.007340\n",
       "                    601800.XSHG  -0.328193   -0.232894  -0.095299\n",
       "                    601818.XSHG  -0.010007   -0.022297   0.012290\n",
       "                    601857.XSHG   0.020054    0.073234  -0.053180\n",
       "                    601881.XSHG  -0.471916   -0.403341  -0.068576\n",
       "                    601901.XSHG  -0.106855   -0.094523  -0.012332\n",
       "                    601985.XSHG  -0.017573    0.024240  -0.041813\n",
       "                    601988.XSHG  -0.082474   -0.091479   0.009005\n",
       "                    601989.XSHG   2.797383    2.515088   0.282295\n",
       "\n",
       "[9100 rows x 3 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_macd"
   ]
  }
 ],
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